COPD home NPPV real-time data monitoring system and method based on multi-sensor fusion

Abstract

The invention discloses a COPD home NPPV real-time data monitoring system and method based on multi-sensor fusion. The COPD home NPPV real-time data monitoring system comprises a multi-sensor fusion real-time monitoring network, a data transmission and optimization module and a cloud data monitoring and management platform. The multi-sensor fusion real-time monitoring network is used for full-period and full-scene monitoring of various physiological indexes such as heart rate, blood pressure, respiratory rate, tidal volume, oxyhemoglobin saturation and end-expiratory carbon dioxide partial pressure, and comprises a non-invasive respirator, an intelligent respiration monitoring belt, an intelligent bracelet, a millimeter wave remote sensing device and an end-expiratory carbon dioxide monitor. The data transmission and optimization module is used for transmitting the collected data to the cloud data monitoring and management platform; the cloud data monitoring and management platform is used for summarizing, displaying and analyzing the monitoring data in real time and carrying out risk assessment and abnormal early warning; according to the invention, full-time-space and multi-dimensional system monitoring of important physiological indexes is realized, and a comprehensive, continuous and accurate data basis is provided for COPD home NPPV management.

Description

Technical Field

[0001] This invention relates to the field of smart healthcare technology, particularly to the field of home-based non-invasive positive pressure ventilation (NPPV) management technology for chronic obstructive pulmonary disease (COPD), and more specifically to a real-time data monitoring system and method for COPD home-based NPPV based on multi-sensor fusion. Background Technology

[0002] Currently, chronic obstructive pulmonary disease (COPD) is a major public health problem that seriously endangers human health worldwide. Home non-invasive positive pressure ventilation (NPPV) is a key means of managing COPD patients with chronic respiratory failure, but its clinical efficacy is constrained by many bottlenecks. Among them, "unsystematic monitoring" is an important reason for the high readmission rate and high mortality rate of patients.

[0003] The current home-based NPPV monitoring system has significant shortcomings. For example, the data source mainly relies on the NPPV device itself, while most portable monitoring devices have not yet achieved online data integration, resulting in widespread data silos. The types of monitoring data are also relatively limited, mainly focusing on ventilator parameters such as tidal volume (VT) and minute ventilation (MV), lacking systematic and multi-dimensional monitoring of key physiological indicators such as heart rate (HR), blood pressure (BP), blood oxygen saturation (SpO2), and end-expiratory carbon dioxide partial pressure (PETCO2), making it difficult for medical staff to fully and in real time grasp the dynamics of the patient's condition.

[0004] In addition, existing monitoring methods have limitations in terms of time and space coverage. For example, when patients are weaned off non-invasive ventilators, monitoring data is lost, making it impossible to achieve continuous monitoring of patients throughout the entire life cycle and in all scenarios. This constitutes a serious management blind spot for COPD patients who need to be constantly monitored for changes in their condition. Furthermore, the various monitoring devices are relatively independent, and the ability to integrate and analyze data is insufficient, further limiting the ability of medical staff to obtain a comprehensive view of the patient.

[0005] Specifically, the limitations of existing monitoring methods are reflected in several aspects: subjective symptom monitoring is highly dependent on good patient cooperation and extensive support from the medical team, which not only requires huge investment of medical resources but also results in low monitoring efficiency; ventilator parameters (such as VT and MV) are easily affected by external factors such as air leakage, and data interruption occurs when patients frequently remove their masks or are weaned off the ventilator, affecting the accuracy and continuity of monitoring; transcutaneous oxygen saturation (SpO2) monitoring requires good patient compliance and skin contact, and its monitoring value is limited when the oxygen flow rate is adjusted; although transcutaneous carbon dioxide partial pressure (PtcCO2) is a good indicator for measuring ventilation status, the related equipment and consumables are expensive and the operation is relatively cumbersome, making it unsuitable for large-scale long-term home monitoring.

[0006] Although existing research teams have initially established a remote medical data management platform for COPD home-based NPPV, integrating conventional respiratory monitoring equipment such as non-invasive ventilators, portable pulmonary function instruments, pulse oximeters, and oxygen concentrators, they have achieved real-time monitoring and follow-up management of the condition of 1,200 patients and achieved an 80% accuracy rate in early warning of acute exacerbations. This platform has laid the foundation for remote management, but it mainly relies on a single ventilator data source and has not fully integrated data from other portable monitoring devices, resulting in insufficient data dimensions and monitoring blind spots in time and space. Therefore, despite the initial progress, the existing platform still needs improvement in achieving comprehensive, accurate, and continuous COPD home-based monitoring.

[0007] Therefore, how to overcome the bottlenecks of the existing COPD home NPPV monitoring system, such as unsystematic monitoring, insufficient data dimensions, limited time and space coverage, and difficulties in data integration, so as to achieve a qualitative leap from preliminary monitoring to systematic and all-time and space monitoring, is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0008] In view of this, the present invention provides a real-time data monitoring system and method for COPD home NPPV based on multi-sensor fusion to solve some of the technical problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: A real-time COPD home NPPV data monitoring system based on multi-sensor fusion includes: a multi-sensor fusion real-time monitoring network, a data transmission and optimization module, and a cloud-based data monitoring and management platform; the multi-sensor fusion real-time monitoring network communicates with the cloud-based data monitoring and management platform through the data transmission and optimization module. A multi-sensor fusion real-time monitoring network is used for continuous monitoring of various physiological indicators such as heart rate, blood pressure, respiratory rate, tidal volume, blood oxygen saturation and end-tidal carbon dioxide partial pressure throughout the entire cycle and in all scenarios. The multi-sensor fusion real-time monitoring network includes non-invasive ventilators, smart respiratory monitoring belts, smart wristbands, millimeter-wave remote sensing, and end-tidal carbon dioxide monitors; The data transmission and optimization module is used to transmit the data collected by each monitoring device to the cloud data monitoring and management platform; The cloud-based data monitoring and management platform is used to summarize, display, and analyze massive amounts of monitoring data in real time, as well as to conduct risk assessments and automatically issue early warnings for abnormal situations.

[0010] Preferably, a non-invasive ventilator is used to monitor ventilator parameters during NPPV operation in real time, including positive airway pressure during inspiratory phase, positive airway pressure during expiratory phase, respiratory rate, inspiratory flow rate, tidal volume, leakage volume, and minute ventilation. The intelligent respiratory monitoring strap is used to monitor respiratory rate and tidal volume during NPPV weaning. Smart bracelets are used to continuously monitor heart rate, blood pressure, and blood oxygen saturation 24 hours a day; Millimeter-wave remote sensing is used for 24-hour continuous non-contact monitoring of heart rate and respiratory rate; The end-tidal carbon dioxide monitor is connected to the ventilator tubing and mask to monitor the end-tidal carbon dioxide partial pressure during NPPV operation.

[0011] Preferably, the data transmission and optimization module uses Bluetooth Low Energy to transmit the data collected by each monitoring device to the cloud platform network, and introduces asynchronous programming technology and transmission optimization algorithms to optimize the communication protocol and reduce the power consumption of the monitoring devices.

[0012] Preferably, the cloud-based data monitoring and management platform adopts a cloud-edge-device collaborative architecture, including a display module, a data storage module, a aggregation and analysis module, and a real-time early warning module; The data storage module is used to store basic patient information, equipment information, medical records, data collected by various monitoring devices, summary and analysis results, and real-time early warning information using a relational database, and provides database CRUD functions; The display module is used to display trend graphs of various physiological indicators of the patient. The summary and analysis module is used to summarize, clean, and analyze real-time monitoring data of various physiological indicators of patients, and generate risk assessment reports. The real-time early warning module is used to provide real-time early warnings of potential disease deterioration based on the aggregated analysis results and according to preset thresholds or abnormal patterns, and to send early warning information.

[0013] Preferably, the COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes a cloud database for synchronously storing data information from the data storage module to the cloud.

[0014] Preferably, the COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes medical terminal equipment, which allows medical staff to log in to the cloud data monitoring and management platform to view the patient's real-time monitoring data, historical trends, risk assessment reports and early warning information, remotely assess the patient's condition, adjust NPPV treatment parameters, formulate personalized respiratory rehabilitation plans, and send medication reminders and health education content.

[0015] Preferably, the COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes a patient terminal device, which provides an intuitive user interface for patients to view their health data, receive early warning information and medical guidance, and perform self-management.

[0016] Preferably, the cloud-based data monitoring and management platform also includes a user role and permission management module and a device overall management module; The User Roles and Permissions Management module is used to manage different user types and their role permissions for data access and function operation within the platform. The equipment management module is used to determine the equipment parameters that need to be saved, manage all monitoring equipment in a unified manner, clarify the correspondence between equipment and users, realize real-time synchronization of information to the cloud database, and support unified management and parameter monitoring of terminal equipment.

[0017] A method for real-time monitoring of COPD and NPPV at home based on multi-sensor fusion, comprising: Through non-invasive ventilators, intelligent respiratory monitoring belts, smart bracelets, millimeter-wave remote sensing and end-tidal carbon dioxide monitors, the physiological indicators of heart rate, blood pressure, respiratory rate, tidal volume, blood oxygen saturation and end-tidal carbon dioxide partial pressure are continuously monitored throughout the entire cycle and in all scenarios. The collected real-time data is wirelessly transmitted to the patient's smartphone or home gateway, and then uploaded to the cloud data monitoring and management platform via the Internet; The cloud-based data monitoring and management platform is designed based on a cloud-edge-device collaborative architecture. It performs real-time aggregation, cleaning, storage and analysis of massive, multi-source and heterogeneous data received, displays the trend charts of various physiological indicators of patients in real time, and conducts risk assessment and real-time early warning for potential deterioration of the condition based on preset thresholds or abnormal patterns. Medical staff can log in to the management platform to view patients' real-time monitoring data, historical trends, risk assessment reports and early warning information, remotely assess patients' conditions, adjust NPPV treatment parameters, develop personalized respiratory rehabilitation plans, and send medication reminders and health education content. Patients can view their health data, receive alerts and medical guidance through the user interface, and manage their health themselves.

[0018] Preferably, when a patient uses NPPV, the non-invasive ventilator monitors and uploads operating parameters in real time, including positive airway pressure during inhalation, positive airway pressure during exhalation, respiratory rate, inspiratory flow rate, tidal volume, leakage, and minute ventilation. Meanwhile, the PETCO2 monitor, connected between the ventilator tubing and the mask, monitors the patient's end-tidal carbon dioxide partial pressure in real time, providing direct data on ventilation efficiency. When the patient is not using NPPV or is weaned off the ventilator, the smart respiratory monitoring belt continuously monitors their respiratory rate and tidal volume. The smart bracelet monitors the patient's heart rate, blood pressure and blood oxygen saturation 24 hours a day, providing continuous information on circulation and oxygenation status; Millimeter-wave remote sensing equipment performs 24-hour non-contact monitoring in the patient's home environment, acquiring heart rate and respiratory rate data.

[0019] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a real-time data monitoring system and method for COPD home NPPV based on multi-sensor fusion, which has the following beneficial effects: By integrating multiple sensors, continuous monitoring of important physiological indicators throughout the entire cycle and in all scenarios has been achieved, breaking through the limitations of traditional single monitoring methods in terms of time and space coverage, significantly improving the continuity, accuracy and reliability of data collection, and filling the gap in existing COPD home NPPV monitoring. By integrating multiple sensors, the dimensions of monitoring data are greatly enriched, enabling a more comprehensive and detailed reflection of the patient's physiological state and disease changes, providing a more sufficient basis for accurate assessment and intervention. By using complementary and partially redundant designs of multiple sensors, the limitations that may exist with a single sensor (such as ventilator leakage interference and SpO2 monitoring compliance issues) can be effectively addressed, thus improving the accuracy and reliability of the data. A cloud-edge-device architecture-based cloud-based data monitoring and management platform has been established, which can summarize, display and analyze massive amounts of monitoring data in real time and automatically issue early warnings for abnormal situations. It not only provides medical staff with a comprehensive view of patients and remote intervention capabilities, but also significantly improves patient compliance through personalized intervention plans, medication reminders, health education and other functions. It realizes collaborative management between doctors and patients, optimizes the allocation of medical resources, and significantly improves the accessibility of COPD diagnosis and treatment, especially in grassroots and remote areas. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0021] Figure 1 A schematic diagram of a COPD home NPPV real-time data monitoring system based on multi-sensor fusion provided by the present invention; Figure 2 This is a schematic diagram of the cloud-based data monitoring and management platform provided by the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] This invention discloses a real-time COPD (Collapse Damage Per Residential Volume) NPPV (Non-Performance Photovoltaic) data monitoring system based on multi-sensor fusion, such as... Figure 1 It includes: a multi-sensor fusion real-time monitoring network, a data transmission and optimization module, and a cloud-based data monitoring and management platform; the multi-sensor fusion real-time monitoring network communicates with the cloud-based data monitoring and management platform through the data transmission and optimization module; A multi-sensor fusion real-time monitoring network is used for continuous monitoring of various physiological indicators such as heart rate (HR), blood pressure (BP), respiratory rate (RR), tidal volume (VT), blood oxygen saturation (SpO2), and end-tidal carbon dioxide partial pressure (PETCO2) throughout the entire cycle and in all scenarios. The multi-sensor fusion real-time monitoring network includes non-invasive ventilators, smart respiratory monitoring belts, smart wristbands, millimeter-wave remote sensing, and end-tidal carbon dioxide monitors; The data transmission and optimization module is used to transmit the data collected by each monitoring device to the cloud data monitoring and management platform; The cloud-based data monitoring and management platform is used to summarize, display, and analyze massive amounts of monitoring data in real time, as well as to conduct risk assessments and automatically issue early warnings for abnormal situations.

[0024] To further implement the above technical solutions, a non-invasive ventilator is used to monitor ventilator parameters during NPPV operation in real time, including inspiratory positive airway pressure (IPAP), expiratory positive airway pressure (EPAP), respiratory rate (RR), inspiratory flow, tidal volume (VT), leakage, and minute ventilation (MV), which directly reflect the effectiveness of ventilation support and the patient's respiratory mechanics. The intelligent respiratory monitoring strap is used to monitor respiratory rate and tidal volume during NPPV weaning. The intelligent respiratory monitoring belt device solves the problem of data loss when patients are weaned off the traditional ventilator, ensuring the continuity of monitoring and covering the respiratory physiological data of patients in the non-ventilated state; Smart bracelets are used to continuously monitor heart rate, blood pressure, and blood oxygen saturation 24 hours a day; The introduction of smart bracelets makes continuous monitoring of circulation and oxygenation status possible, providing important evidence for assessing the patient's overall physiological condition, especially during off-the-machine activities or sleep. Millimeter-wave remote sensing for 24-hour continuous non-contact monitoring of heart rate and respiratory rate Millimeter-wave remote sensing technology provides a non-contact, imperceptible monitoring method, which further enhances patient compliance and data continuity, and is especially suitable for nighttime sleep monitoring, avoiding the feeling of being restricted by wearable devices; The end-tidal carbon dioxide monitor is connected to the ventilator tubing and mask to monitor the end-tidal carbon dioxide partial pressure during NPPV operation.

[0025] End-tidal carbon dioxide partial pressure (PETCO2) is an important indicator for assessing ventilation efficiency and carbon dioxide retention. Its introduction makes the assessment of patients' ventilation status more comprehensive and accurate.

[0026] The multiple sensors in the multi-sensor fusion real-time monitoring network are not simply stacked, but are carefully designed to address the problems of "insufficient data dimensions" and "limited temporal and spatial coverage" in existing monitoring systems. For example, ventilator parameters are used for direct assessment of ventilation status, smart bracelets and millimeter-wave remote sensing are used for continuous monitoring of physiological status throughout the entire cycle, smart respiratory monitoring bands are used to fill the data gaps in the offline state, and PETCO2 is used to provide key ventilation efficiency indicators. This complementary and partially redundant design (such as HR and RR being monitored jointly by smart bracelets and millimeter-wave remote sensing) significantly improves the comprehensiveness, continuity and reliability of the data, ensuring that high-quality monitoring data can be obtained in various home scenarios.

[0027] To further implement the above technical solution, the data transmission and optimization module adopts Bluetooth Low Energy to transmit the data collected by each monitoring device to the cloud platform network. Asynchronous programming technology and transmission optimization algorithms are introduced to optimize the communication protocol and reduce the power consumption of the monitoring devices, which significantly extends the service life of the monitoring devices and improves the long-term operational reliability of the system.

[0028] To further implement the above technical solutions, such as Figure 2 The cloud-based data monitoring and management platform adopts a cloud-edge-device collaborative architecture, including a display module, a data storage module, a aggregation and analysis module, and a real-time early warning module. The data storage module is used to store basic patient information, equipment information, medical records, data collected by various monitoring devices, summary and analysis results, and real-time early warning information using a relational database, and provides database CRUD functions; The display module is used to display trend graphs of various physiological indicators of the patient. The summary and analysis module is used to summarize, clean, and analyze real-time monitoring data of various physiological indicators of patients, and generate risk assessment reports. The real-time early warning module is used to provide real-time early warnings of potential disease deterioration based on the aggregated analysis results and according to preset thresholds or abnormal patterns, and to send early warning information.

[0029] To further implement the above technical solution, a COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes a cloud database, which is used to synchronously store the data information of the data storage module to the cloud.

[0030] To further implement the above technical solutions, a COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes medical terminal equipment, which allows medical staff to log in to the cloud data monitoring and management platform to view the patient's real-time monitoring data, historical trends, risk assessment reports and early warning information, remotely assess the patient's condition, adjust NPPV treatment parameters, formulate personalized respiratory rehabilitation plans, and send medication reminders and health education content.

[0031] To further implement the above technical solution, a COPD home NPPV real-time data monitoring system based on multi-sensor fusion also includes a patient terminal device, which provides an intuitive user interface for patients to view their health data, receive early warning information and medical guidance, and perform self-management.

[0032] To further implement the above technical solutions, the cloud-based data monitoring and management platform also includes a user role and permission management module and a device overall management module; The User Roles and Permissions Management module is used to manage different user types and their role permissions for data access and function operation within the platform. The equipment management module is used to determine the equipment parameters that need to be saved, manage all monitoring equipment in a unified manner, clarify the correspondence between equipment and users, realize real-time synchronization of information to the cloud database, and support unified management and parameter monitoring of terminal equipment.

[0033] A method for real-time monitoring of COPD and NPPV at home based on multi-sensor fusion, comprising a real-time monitoring system for COPD and NPPV at home based on multi-sensor fusion, including: Through non-invasive ventilators, intelligent respiratory monitoring belts, smart bracelets, millimeter-wave remote sensing and end-tidal carbon dioxide monitors, the physiological indicators of heart rate, blood pressure, respiratory rate, tidal volume, blood oxygen saturation and end-tidal carbon dioxide partial pressure (PETCO2) are continuously monitored throughout the entire cycle and in all scenarios. The collected real-time data is wirelessly transmitted to the patient's smartphone or home gateway, and then uploaded to the cloud data monitoring and management platform via the Internet; The cloud-based data monitoring and management platform is designed based on a cloud-edge-device collaborative architecture. It performs real-time aggregation, cleaning, storage and analysis of massive, multi-source and heterogeneous data received, displays the trend charts of various physiological indicators of patients in real time, and conducts risk assessment and real-time early warning for potential deterioration of the condition based on preset thresholds or abnormal patterns. Medical staff can log in to the management platform to view patients' real-time monitoring data, historical trends, risk assessment reports and early warning information, remotely assess patients' conditions, adjust NPPV treatment parameters, develop personalized respiratory rehabilitation plans, and send medication reminders and health education content. Patients can view their health data, receive alerts and medical guidance through the user interface, and manage their health themselves.

[0034] To further implement the above technical solution, when a patient uses NPPV, the non-invasive ventilator monitors and uploads operating parameters in real time, including positive airway pressure during inhalation, positive airway pressure during exhalation, respiratory rate, inspiratory flow rate, tidal volume, leakage, and minute ventilation. Meanwhile, the PETCO2 monitor, connected between the ventilator tubing and the mask, monitors the patient's end-tidal carbon dioxide partial pressure in real time, providing direct data on ventilation efficiency. When the patient is not using NPPV or is weaned off the ventilator, the smart respiratory monitoring belt continuously monitors their respiratory rate and tidal volume. The smart bracelet monitors the patient's heart rate, blood pressure and blood oxygen saturation 24 hours a day, providing continuous information on circulation and oxygenation status; Millimeter-wave remote sensing equipment performs 24-hour non-contact monitoring in the patient's home environment, acquiring heart rate and respiratory rate data.

[0035] In another embodiment, taking a typical COPD home NPPV management scenario as an example, the patient wears or uses a variety of intelligent monitoring devices integrated by the present invention at home. Each device is compatible with the COPD home NPPV real-time data monitoring system based on multi-sensor fusion proposed by the present invention, including a non-invasive ventilator, an intelligent respiratory monitoring belt, a smart bracelet, a millimeter-wave remote sensing device, and a PETCO2 monitor connected to the ventilator tubing.

[0036] When a patient uses NPPV, the non-invasive ventilator monitors and uploads its operating parameters in real time, such as inspiratory positive airway pressure (IPAP), expiratory positive airway pressure (EPAP), respiratory rate (RR), inspiratory flow, tidal volume (VT), leakage, and minute ventilation (MV). At the same time, the PETCO2 monitor, connected between the ventilator tubing and the mask, monitors the patient's end-expiratory carbon dioxide partial pressure in real time, providing direct data on ventilation efficiency. When patients are not using NPPV or are weaned off the ventilator, the smart respiratory monitoring band continuously monitors their respiratory rate (RR) and tidal volume (VT), filling the monitoring gap during ventilator weaning and ensuring the continuity of respiratory data. The smart wristband continuously monitors the patient's heart rate (HR), blood pressure (BP), and blood oxygen saturation (SpO2) 24 hours a day, providing continuous information on circulation and oxygenation status. In addition, millimeter-wave remote sensing equipment performs 24-hour non-contact monitoring in the patient's home environment (e.g., bedroom) to acquire heart rate (HR) and respiratory rate (RR) data, further enhancing data continuity and patient comfort, especially suitable for nighttime sleep monitoring.

[0037] All monitoring devices use Bluetooth Low Energy technology to wirelessly transmit the collected real-time data to the patient's smartphone or home gateway, and then upload it to the cloud data monitoring and management platform via the Internet. During data transmission, asynchronous programming technology and transmission optimization algorithms are used to ensure the independence and stability of data transmission. At the same time, by optimizing the communication protocol and reducing device power consumption, the battery life is extended, ensuring the need for long-term continuous monitoring.

[0038] The cloud-based data monitoring and management platform collects, cleans, stores, and analyzes massive amounts of multi-source, heterogeneous data in real time, displays trend graphs of various physiological indicators of patients in real time, and provides real-time early warnings for potential deterioration of the condition based on preset thresholds or abnormal patterns. For example, when a patient's PETCO2 continues to rise and RR and HR increase by more than 20% above the baseline value for more than 24 hours, the platform will automatically trigger an early warning and notify the patient, their family, and medical staff via mobile APP or SMS.

[0039] Healthcare professionals can log in to the management platform via PC or mobile app to view patients' real-time monitoring data, historical trends, risk assessment reports, and early warning information. Based on this comprehensive data, doctors can remotely assess patients' conditions, adjust NPPV treatment parameters (e.g., adjust IPAP / EPAP based on changes in PETCO2 and VT), develop personalized respiratory rehabilitation plans, and send medication reminders and health education content. The patient-side app provides an intuitive user interface, allowing patients to view their health data, receive early warning information and healthcare guidance, and manage their own health.

[0040] This embodiment realizes all-weather, multi-dimensional, and systematic monitoring of COPD patients with NPPV at home, providing high-quality, continuous, and comprehensive data support for subsequent intelligent early warning of acute exacerbations and bidirectional switching strategies for high and low NPPV intensity. This constructs a closed loop of "monitoring-early warning-treatment" for COPD home management, significantly improving the accuracy and effectiveness of home NPPV management.

[0041] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0042] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A COPD home NPPV real-time data monitoring system based on multi-sensor fusion, characterized in that, Comprise: Multi-sensor fusion real-time monitoring network, data transmission and optimization module and cloud data monitoring and management platform; Multi-sensor fusion real-time monitoring network is in communication connection with cloud data monitoring and management platform through data transmission and optimization module; Multi-sensor fusion real-time monitoring network is used for full-cycle, full-scene continuous monitoring of each physiological index of heart rate, blood pressure, respiratory rate, tidal volume, blood oxygen saturation and end-tidal carbon dioxide partial pressure; Multi-sensor fusion real-time monitoring network includes non-invasive ventilator, intelligent respiratory monitoring belt, smart bracelet, millimeter wave remote sensing and end-tidal carbon dioxide monitor; Data transmission and optimization module is used for transmitting data collected by each monitoring device to cloud data monitoring and management platform; Cloud data monitoring and management platform is used for real-time summarization, display and analysis of massive monitoring data, risk assessment and automatic early warning of abnormal conditions.

2. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 1, wherein, Non-invasive ventilator is used for real-time monitoring of ventilator parameters during NPPV operation, including inspiratory positive airway pressure, expiratory positive airway pressure, respiratory rate, inspiratory flow, tidal volume, air leakage and minute ventilation; Intelligent respiratory monitoring belt is used for monitoring respiratory rate and tidal volume when NPPV is disconnected; Smart bracelet is used for 24-hour continuous monitoring of heart rate, blood pressure and blood oxygen saturation; Millimeter wave remote sensing is used for 24-hour continuous non-contact monitoring of heart rate and respiratory rate; End-tidal carbon dioxide monitor is connected to the connection between ventilator pipeline and mask, and is used for monitoring end-tidal carbon dioxide partial pressure under NPPV operation.

3. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 1, wherein, Data transmission and optimization module uses Bluetooth low energy to transmit data collected by each monitoring device to cloud platform network, introduces asynchronous programming technology and transmission optimization algorithm to optimize communication protocol and reduce monitoring device power consumption.

4. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 1, wherein, Cloud data monitoring and management platform adopts cloud-edge-end collaborative architecture, including display module, data storage module, summary and analysis module and real-time warning module; Data storage module is used for storing patient basic information, device information, diagnosis and treatment record data, data collected by each monitoring device, summary and analysis results and real-time warning information by using relational database, and providing database adding, deleting, modifying and querying functions; Display module is used for displaying physiological index trend chart of patient; Summary and analysis module is used for real-time monitoring, cleaning, analysis and risk assessment report generation based on real-time monitoring data of each physiological index of patient; Real-time warning module is used for real-time warning of potential disease deterioration based on summary analysis results and according to preset threshold or abnormal mode, and sending warning information.

5. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 4, wherein, It also includes cloud database for synchronously storing data information of data storage module to cloud.

6. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 4, wherein, It also includes medical terminal device, which is used for medical staff to view real-time monitoring data, historical trend, risk assessment report and warning information of patient by logging in cloud data monitoring and management platform, remotely assess patient's condition, adjust NPPV treatment parameters, develop individualized respiratory rehabilitation plan and send medication reminder and health education content.

7. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 6, wherein, It also includes patient terminal device, which is used for providing intuitive user interface, allowing patient to view his own health data, receive warning information and medical guidance and perform self-management.

8. The COPD home NPPV real-time data monitoring system based on multi-sensor fusion of claim 7, wherein, The cloud data monitoring and management platform further comprises a user role and permission management module and a device overall management module; The user role and permission management module is used for managing different user types and their role permissions in data access and function operation in the platform; The device overall management module is used for determining device parameters to be saved, overall managing various monitoring devices, defining the correspondence between devices and users, realizing real-time synchronization of information to a cloud database, and supporting unified management and parameter monitoring of terminal devices.

9. A COPD home NPPV real-time data monitoring method based on multi-sensor fusion, characterized in that, The COPD home NPPV real-time data monitoring system based on multi-sensor fusion according to any one of claims 1-8 comprises: The non-invasive ventilator, the intelligent respiratory monitoring belt, the smart bracelet, the millimeter wave remote sensing device, and the end-tidal carbon dioxide monitor are used to continuously monitor the full cycle and full scene of each physiological index of heart rate, blood pressure, respiratory rate, tidal volume, blood oxygen saturation, and end-tidal carbon dioxide partial pressure; The collected real-time data are wirelessly transmitted to the patient's smart phone or home gateway, and then uploaded to the cloud data monitoring and management platform through the Internet; The cloud data monitoring and management platform is based on a cloud-edge-end collaborative architecture design, and is used to perform real-time collection, cleaning, storage, and analysis on the received massive, multi-source, and heterogeneous data, display the trend graphs of each physiological index of the patient in real time, and perform risk assessment and real-time warning on potential disease deterioration according to a preset threshold or abnormal mode; The medical staff logs in to the management platform to view the real-time monitoring data, historical trends, risk assessment reports, and warning information of the patient, remotely assess the patient's condition, adjust the NPPV treatment parameters, develop a personalized respiratory rehabilitation plan, and send medication reminders and health education content; The patient views his / her health data through the user interface, receives warning information and medical guidance, and performs self-management.

10. The COPD home NPPV real-time data monitoring method based on multi-sensor fusion of claim 9, wherein, When the patient uses NPPV, the non-invasive ventilator monitors and uploads the running parameters in real time, including the inspiratory positive airway pressure, expiratory positive airway pressure, respiratory rate, inspiratory flow, tidal volume, air leakage, and minute ventilation; At the same time, the PETCO2 monitor monitors the end-tidal carbon dioxide partial pressure of the patient in real time by being connected between the ventilator pipeline and the mask, and provides direct data about ventilation efficiency; When the patient does not use NPPV or is disconnected from the ventilator, the intelligent respiratory monitoring belt continuously monitors the respiratory rate and tidal volume of the patient; The smart bracelet continuously monitors the heart rate, blood pressure, and blood oxygen saturation of the patient for 24 hours, and provides continuous information about the circulation and oxygenation states; The millimeter wave remote sensing device performs 24-hour non-contact monitoring in the home environment of the patient, and obtains the heart rate and respiratory rate data.

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